Files
axolotl/src/axolotl/integrations/grokfast/__init__.py
Dan Saunders c907ac173e adding pre-commit auto-update GH action and bumping plugin versions (#2428)
* adding pre-commit auto-update GH action and bumping plugin versions

* running updated pre-commit plugins

* sorry to revert, but pylint complained

* Update .pre-commit-config.yaml

Co-authored-by: Wing Lian <wing.lian@gmail.com>

---------

Co-authored-by: Dan Saunders <dan@axolotl.ai>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
2025-03-21 11:02:43 -04:00

52 lines
1.4 KiB
Python

"""
Grokfast plugin for Axolotl
"""
import logging
from transformers.trainer_callback import TrainerCallback
from ..base import BasePlugin
from .args import GrokfastArgs # pylint: disable=unused-import. # noqa: F401
from .optimizer import gradfilter_ema
LOG = logging.getLogger("axolotl.integrations.grokfast")
class GrokfastCallbackHandler(TrainerCallback):
"""
Transformer trainer callbacks for Grokfast
"""
def __init__(self, *args_, alpha=0.98, lamb=2.0, **kwargs):
super().__init__(*args_, **kwargs)
self.grads = None
self.alpha = alpha
self.lamb = lamb
def on_train_begin(self, *args_, **kwargs): # pylint: disable=unused-argument
self.grads = None
def on_pre_optimizer_step(
self, args_, state, control, **kwargs
): # pylint: disable=unused-argument
model = kwargs.pop("model")
self.grads = gradfilter_ema(model, self.grads, alpha=self.alpha, lamb=self.lamb)
return control
class GrokfastPlugin(BasePlugin):
"""
Plugin for Grokfast optimizer integraton with Axolotl.
"""
def get_input_args(self):
return "axolotl.integrations.grokfast.GrokfastArgs"
def add_callbacks_post_trainer(self, cfg, trainer):
LOG.info("Adding Grokfast callback to the trainer")
callback = GrokfastCallbackHandler(
alpha=cfg.grokfast_alpha, lamb=cfg.grokfast_lamb
)
return [callback]